The AI+ Robotics certification provides a comprehensive introduction to how artificial intelligence is powering the next generation of robotics. Through a focused curriculum, participants gain a solid understanding of core robotics concepts, autonomous systems, control mechanisms, development frameworks, deep learning, reinforcement learning, generative AI, natural language processing, robotic process automation, and ethical considerations.
Participants will learn to apply AI algorithms to drive robotic behaviors, integrate sensors and actuators, develop autonomous agents, leverage leading development tools, and deploy practical AI-powered robotics solutions in real-world scenarios. This program equips learners with practical experience, industry context, and technical skills to innovate, automate, and address challenges unique to robotics across various sectors. Upon completion, graduates will demonstrate mastery in building and managing AI-driven robotic systems, implementing intelligent automation, and navigating emerging technologies in robotics. This certification signals readiness to contribute to or lead technical projects at the intersection of robotics and artificial intelligence.
Basic understanding of AI, computer science, and statistics (no advanced technical skills required)
Familiarity with Python and R
Interest in robotics, automation, and ethical AI
Questions: 50
Passing Score: 35/50 (70%)
Duration: 90 Minutes
Format: Online via AI Proctoring Platform
Question Type: Multiple Choice / Multiple Response
Introduction to Robotics & AI – 5%
Robotic Mechanics (Sensors, Actuators, Control Systems) – 6%
Autonomous Systems & Agents – 6%
Development Frameworks (Python, TensorFlow, PyTorch) – 9%
Deep Learning in Robotics – 9%
Reinforcement Learning for Robotics – 9%
Generative AI in Robotics – 9%
Natural Language Processing for Human-Robot Interaction – 9%
Hands-On Projects & Use Cases (Object Recognition, Path Planning, PID Control) – 8%
Emerging Technologies (Blockchain, Quantum) – 9%
Robotic Process Automation (RPA) Integration – 9%
Ethics & Policy in AI Robotics – 6%
Future Trends in Robotics – 6%